{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d7bdf8e8",
   "metadata": {},
   "source": [
    "## 样式设置"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58e3c59c",
   "metadata": {},
   "source": [
    "style设置，修改主题风格，属性如下：\n",
    "\n",
    "![](4_seaborn数据可视化_images/1.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "357ea787",
   "metadata": {},
   "source": [
    "context设置，修改大小，属性如下：\n",
    "\n",
    "![](4_seaborn数据可视化_images/2.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "10715276",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "sns.set(style = 'ticks', # 主题：四周有刻度线的白色背景\n",
    "        context = 'paper', # 越来越大，越来越粗\n",
    "        font = 'Kai') # 设置样式\n",
    "\n",
    "# 画布大小\n",
    "plt.figure(figsize=(9, 6))\n",
    "\n",
    "# x轴\n",
    "x = np.linspace(0, 2*np.pi, 20)\n",
    "\n",
    "# y轴\n",
    "y = np.sin(x)\n",
    "\n",
    "# lineplot方法，画一条线\n",
    "sns.lineplot(x = x, y = y, color = 'green',ls = '--')\n",
    "sns.lineplot(x = x, y = np.cos(x), color = 'red',ls = '-.')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6c8aac2",
   "metadata": {},
   "source": [
    "## 调色板"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f21d5194",
   "metadata": {},
   "source": [
    "参数palette（调色板），用于调整颜色，系统默认提供了六种选择： deep, muted, bright, pastel, dark, colorblind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5935d951",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['magma',\n",
       " 'inferno',\n",
       " 'plasma',\n",
       " 'viridis',\n",
       " 'cividis',\n",
       " 'twilight',\n",
       " 'twilight_shifted',\n",
       " 'turbo',\n",
       " 'Blues',\n",
       " 'BrBG',\n",
       " 'BuGn',\n",
       " 'BuPu',\n",
       " 'CMRmap',\n",
       " 'GnBu',\n",
       " 'Greens',\n",
       " 'Greys',\n",
       " 'OrRd',\n",
       " 'Oranges',\n",
       " 'PRGn',\n",
       " 'PiYG',\n",
       " 'PuBu',\n",
       " 'PuBuGn',\n",
       " 'PuOr',\n",
       " 'PuRd',\n",
       " 'Purples',\n",
       " 'RdBu',\n",
       " 'RdGy',\n",
       " 'RdPu',\n",
       " 'RdYlBu',\n",
       " 'RdYlGn',\n",
       " 'Reds',\n",
       " 'Spectral',\n",
       " 'Wistia',\n",
       " 'YlGn',\n",
       " 'YlGnBu',\n",
       " 'YlOrBr',\n",
       " 'YlOrRd',\n",
       " 'afmhot',\n",
       " 'autumn',\n",
       " 'binary',\n",
       " 'bone',\n",
       " 'brg',\n",
       " 'bwr',\n",
       " 'cool',\n",
       " 'coolwarm',\n",
       " 'copper',\n",
       " 'cubehelix',\n",
       " 'flag',\n",
       " 'gist_earth',\n",
       " 'gist_gray',\n",
       " 'gist_heat',\n",
       " 'gist_ncar',\n",
       " 'gist_rainbow',\n",
       " 'gist_stern',\n",
       " 'gist_yarg',\n",
       " 'gnuplot',\n",
       " 'gnuplot2',\n",
       " 'gray',\n",
       " 'hot',\n",
       " 'hsv',\n",
       " 'jet',\n",
       " 'nipy_spectral',\n",
       " 'ocean',\n",
       " 'pink',\n",
       " 'prism',\n",
       " 'rainbow',\n",
       " 'seismic',\n",
       " 'spring',\n",
       " 'summer',\n",
       " 'terrain',\n",
       " 'winter',\n",
       " 'Accent',\n",
       " 'Dark2',\n",
       " 'Paired',\n",
       " 'Pastel1',\n",
       " 'Pastel2',\n",
       " 'Set1',\n",
       " 'Set2',\n",
       " 'Set3',\n",
       " 'tab10',\n",
       " 'tab20',\n",
       " 'tab20b',\n",
       " 'tab20c',\n",
       " 'magma_r',\n",
       " 'inferno_r',\n",
       " 'plasma_r',\n",
       " 'viridis_r',\n",
       " 'cividis_r',\n",
       " 'twilight_r',\n",
       " 'twilight_shifted_r',\n",
       " 'turbo_r',\n",
       " 'Blues_r',\n",
       " 'BrBG_r',\n",
       " 'BuGn_r',\n",
       " 'BuPu_r',\n",
       " 'CMRmap_r',\n",
       " 'GnBu_r',\n",
       " 'Greens_r',\n",
       " 'Greys_r',\n",
       " 'OrRd_r',\n",
       " 'Oranges_r',\n",
       " 'PRGn_r',\n",
       " 'PiYG_r',\n",
       " 'PuBu_r',\n",
       " 'PuBuGn_r',\n",
       " 'PuOr_r',\n",
       " 'PuRd_r',\n",
       " 'Purples_r',\n",
       " 'RdBu_r',\n",
       " 'RdGy_r',\n",
       " 'RdPu_r',\n",
       " 'RdYlBu_r',\n",
       " 'RdYlGn_r',\n",
       " 'Reds_r',\n",
       " 'Spectral_r',\n",
       " 'Wistia_r',\n",
       " 'YlGn_r',\n",
       " 'YlGnBu_r',\n",
       " 'YlOrBr_r',\n",
       " 'YlOrRd_r',\n",
       " 'afmhot_r',\n",
       " 'autumn_r',\n",
       " 'binary_r',\n",
       " 'bone_r',\n",
       " 'brg_r',\n",
       " 'bwr_r',\n",
       " 'cool_r',\n",
       " 'coolwarm_r',\n",
       " 'copper_r',\n",
       " 'cubehelix_r',\n",
       " 'flag_r',\n",
       " 'gist_earth_r',\n",
       " 'gist_gray_r',\n",
       " 'gist_heat_r',\n",
       " 'gist_ncar_r',\n",
       " 'gist_rainbow_r',\n",
       " 'gist_stern_r',\n",
       " 'gist_yarg_r',\n",
       " 'gnuplot_r',\n",
       " 'gnuplot2_r',\n",
       " 'gray_r',\n",
       " 'hot_r',\n",
       " 'hsv_r',\n",
       " 'jet_r',\n",
       " 'nipy_spectral_r',\n",
       " 'ocean_r',\n",
       " 'pink_r',\n",
       " 'prism_r',\n",
       " 'rainbow_r',\n",
       " 'seismic_r',\n",
       " 'spring_r',\n",
       " 'summer_r',\n",
       " 'terrain_r',\n",
       " 'winter_r',\n",
       " 'Accent_r',\n",
       " 'Dark2_r',\n",
       " 'Paired_r',\n",
       " 'Pastel1_r',\n",
       " 'Pastel2_r',\n",
       " 'Set1_r',\n",
       " 'Set2_r',\n",
       " 'Set3_r',\n",
       " 'tab10_r',\n",
       " 'tab20_r',\n",
       " 'tab20b_r',\n",
       " 'tab20c_r',\n",
       " 'rocket',\n",
       " 'rocket_r',\n",
       " 'mako',\n",
       " 'mako_r',\n",
       " 'icefire',\n",
       " 'icefire_r',\n",
       " 'vlag',\n",
       " 'vlag_r',\n",
       " 'flare',\n",
       " 'flare_r',\n",
       " 'crest',\n",
       " 'crest_r']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 颜色主题\n",
    "plt.colormaps()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f52bff51",
   "metadata": {},
   "source": [
    "## 线形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7b438939",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, '时间节点')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "sns.set(style = 'dark',context = 'notebook',font = 'Kai') # 设置样式\n",
    "\n",
    "plt.figure(figsize=(9, 6)) # 设置画布\n",
    "\n",
    "# 加载数据\n",
    "fmri = pd.read_csv('./data/fmri.csv') # fmri这一核磁共振数据\n",
    "\n",
    "ax = sns.lineplot(x = 'timepoint',y = 'signal',\n",
    "                  hue = 'event', # 根据event属性分类，绘制两条线\n",
    "                  style = 'event' ,# 根据event属性分类，指定样式\n",
    "                  data= fmri, # 数据\n",
    "                  palette='ocean', # 调色板\n",
    "                  markers=True, # 显示节点\n",
    "                  markersize = 10) # 节点大小\n",
    "\n",
    "# 标签\n",
    "plt.xlabel('时间节点',fontsize = 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7ce231c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['stim', 'cue'], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看\n",
    "fmri['event'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c0802ba9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subject</th>\n",
       "      <th>timepoint</th>\n",
       "      <th>event</th>\n",
       "      <th>region</th>\n",
       "      <th>signal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s13</td>\n",
       "      <td>18</td>\n",
       "      <td>stim</td>\n",
       "      <td>parietal</td>\n",
       "      <td>-0.017552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s5</td>\n",
       "      <td>14</td>\n",
       "      <td>stim</td>\n",
       "      <td>parietal</td>\n",
       "      <td>-0.080883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s12</td>\n",
       "      <td>18</td>\n",
       "      <td>stim</td>\n",
       "      <td>parietal</td>\n",
       "      <td>-0.081033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s11</td>\n",
       "      <td>18</td>\n",
       "      <td>stim</td>\n",
       "      <td>parietal</td>\n",
       "      <td>-0.046134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s10</td>\n",
       "      <td>18</td>\n",
       "      <td>stim</td>\n",
       "      <td>parietal</td>\n",
       "      <td>-0.037970</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  subject  timepoint event    region    signal\n",
       "0     s13         18  stim  parietal -0.017552\n",
       "1      s5         14  stim  parietal -0.080883\n",
       "2     s12         18  stim  parietal -0.081033\n",
       "3     s11         18  stim  parietal -0.046134\n",
       "4     s10         18  stim  parietal -0.037970"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看数据\n",
    "fmri.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d22cec2",
   "metadata": {},
   "source": [
    "## 散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "51116f5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns \n",
    "\n",
    "data = pd.read_csv('./data/tips.csv') # 小费 \n",
    "\n",
    "plt.figure(figsize=(9, 6)) # 画布大小\n",
    "\n",
    "sns.set(style = 'darkgrid', context = 'talk') # 散点图主题\n",
    "\n",
    "# 绘制散点图\n",
    "fig = sns.scatterplot(x = 'total_bill', \n",
    "                      y = 'tip', \n",
    "                      hue = 'time', \n",
    "                      data = data, \n",
    "                      palette = 'autumn', s = 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37cb01e7",
   "metadata": {},
   "source": [
    "## 分类散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bec97499",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x16e286910>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 436.475x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns \n",
    "import matplotlib.pyplot as plt \n",
    "import pandas as pd \n",
    "\n",
    "sns.set(style = 'darkgrid') \n",
    "exercise = pd.read_csv('./data/exercise.csv') \n",
    "\n",
    "sns.catplot(x=\"time\", y=\"pulse\", hue=\"kind\", data=exercise)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79705954",
   "metadata": {},
   "source": [
    "## 柱状图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "03209c73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns \n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "plt.figure(figsize = (9, 6)) # 画布大小\n",
    "\n",
    "sns.set(style = 'whitegrid') # 主题\n",
    "\n",
    "tips = pd.read_csv('./data/tips.csv') # 小费数据\n",
    "\n",
    "# 绘制柱状图\n",
    "ax = sns.barplot(x = \"day\", \n",
    "                 y = \"total_bill\", \n",
    "                 data = tips,\n",
    "                 hue = 'sex', \n",
    "                 palette = 'colorblind', \n",
    "                 capsize = 0.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77d99b49",
   "metadata": {},
   "source": [
    "## 箱式图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cf6200f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns \n",
    "import matplotlib.pyplot as plt \n",
    "import pandas as pd \n",
    "\n",
    "sns.set(style = 'ticks') # 设置主题\n",
    "\n",
    "tips = pd.read_csv('./data/tips.csv') # 读取数据\n",
    "\n",
    "# 绘制箱式图\n",
    "ax = sns.boxplot(x=\"day\", y=\"total_bill\", data=tips, palette='colorblind')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a1e02cf",
   "metadata": {},
   "source": [
    "## 直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cd62f0ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Count'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns \n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "sns.set(style = 'dark') # 主题\n",
    "\n",
    "x = np.random.randn(5000) # x轴\n",
    "\n",
    "sns.histplot(x, kde = True) # 直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cf267a99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill', ylabel='Count'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns \n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt \n",
    "import pandas as pd \n",
    "\n",
    "sns.set(style = 'darkgrid')  # 颜色主题\n",
    "\n",
    "tips = pd.read_csv('./data/tips.csv') # 数据\n",
    "\n",
    "# 直方图\n",
    "sns.histplot(x = 'total_bill', data = tips, kde = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1679d5f8",
   "metadata": {},
   "source": [
    "## 热力图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8041ff2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year', ylabel='month'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.figure(figsize=(12, 9)) # 画布大小\n",
    "\n",
    "flights = pd.read_csv('./data/flights.csv') # 飞行数据\n",
    "\n",
    "# pivot数据重塑，改变 DataFrame形状\n",
    "flights = flights.pivot(\"month\", \"year\", \"passengers\") # 年，月份，飞机乘客数量\n",
    "\n",
    "# 绘制热力图\n",
    "sns.heatmap(flights, annot=True,fmt = 'd',cmap = 'RdBu_r',linewidths=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9530a467",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>year</th>\n",
       "      <th>1949</th>\n",
       "      <th>1950</th>\n",
       "      <th>1951</th>\n",
       "      <th>1952</th>\n",
       "      <th>1953</th>\n",
       "      <th>1954</th>\n",
       "      <th>1955</th>\n",
       "      <th>1956</th>\n",
       "      <th>1957</th>\n",
       "      <th>1958</th>\n",
       "      <th>1959</th>\n",
       "      <th>1960</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>April</th>\n",
       "      <td>129</td>\n",
       "      <td>135</td>\n",
       "      <td>163</td>\n",
       "      <td>181</td>\n",
       "      <td>235</td>\n",
       "      <td>227</td>\n",
       "      <td>269</td>\n",
       "      <td>313</td>\n",
       "      <td>348</td>\n",
       "      <td>348</td>\n",
       "      <td>396</td>\n",
       "      <td>461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>August</th>\n",
       "      <td>148</td>\n",
       "      <td>170</td>\n",
       "      <td>199</td>\n",
       "      <td>242</td>\n",
       "      <td>272</td>\n",
       "      <td>293</td>\n",
       "      <td>347</td>\n",
       "      <td>405</td>\n",
       "      <td>467</td>\n",
       "      <td>505</td>\n",
       "      <td>559</td>\n",
       "      <td>606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>December</th>\n",
       "      <td>118</td>\n",
       "      <td>140</td>\n",
       "      <td>166</td>\n",
       "      <td>194</td>\n",
       "      <td>201</td>\n",
       "      <td>229</td>\n",
       "      <td>278</td>\n",
       "      <td>306</td>\n",
       "      <td>336</td>\n",
       "      <td>337</td>\n",
       "      <td>405</td>\n",
       "      <td>432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>February</th>\n",
       "      <td>118</td>\n",
       "      <td>126</td>\n",
       "      <td>150</td>\n",
       "      <td>180</td>\n",
       "      <td>196</td>\n",
       "      <td>188</td>\n",
       "      <td>233</td>\n",
       "      <td>277</td>\n",
       "      <td>301</td>\n",
       "      <td>318</td>\n",
       "      <td>342</td>\n",
       "      <td>391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>January</th>\n",
       "      <td>112</td>\n",
       "      <td>115</td>\n",
       "      <td>145</td>\n",
       "      <td>171</td>\n",
       "      <td>196</td>\n",
       "      <td>204</td>\n",
       "      <td>242</td>\n",
       "      <td>284</td>\n",
       "      <td>315</td>\n",
       "      <td>340</td>\n",
       "      <td>360</td>\n",
       "      <td>417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>July</th>\n",
       "      <td>148</td>\n",
       "      <td>170</td>\n",
       "      <td>199</td>\n",
       "      <td>230</td>\n",
       "      <td>264</td>\n",
       "      <td>302</td>\n",
       "      <td>364</td>\n",
       "      <td>413</td>\n",
       "      <td>465</td>\n",
       "      <td>491</td>\n",
       "      <td>548</td>\n",
       "      <td>622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>June</th>\n",
       "      <td>135</td>\n",
       "      <td>149</td>\n",
       "      <td>178</td>\n",
       "      <td>218</td>\n",
       "      <td>243</td>\n",
       "      <td>264</td>\n",
       "      <td>315</td>\n",
       "      <td>374</td>\n",
       "      <td>422</td>\n",
       "      <td>435</td>\n",
       "      <td>472</td>\n",
       "      <td>535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>March</th>\n",
       "      <td>132</td>\n",
       "      <td>141</td>\n",
       "      <td>178</td>\n",
       "      <td>193</td>\n",
       "      <td>236</td>\n",
       "      <td>235</td>\n",
       "      <td>267</td>\n",
       "      <td>317</td>\n",
       "      <td>356</td>\n",
       "      <td>362</td>\n",
       "      <td>406</td>\n",
       "      <td>419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>May</th>\n",
       "      <td>121</td>\n",
       "      <td>125</td>\n",
       "      <td>172</td>\n",
       "      <td>183</td>\n",
       "      <td>229</td>\n",
       "      <td>234</td>\n",
       "      <td>270</td>\n",
       "      <td>318</td>\n",
       "      <td>355</td>\n",
       "      <td>363</td>\n",
       "      <td>420</td>\n",
       "      <td>472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>November</th>\n",
       "      <td>104</td>\n",
       "      <td>114</td>\n",
       "      <td>146</td>\n",
       "      <td>172</td>\n",
       "      <td>180</td>\n",
       "      <td>203</td>\n",
       "      <td>237</td>\n",
       "      <td>271</td>\n",
       "      <td>305</td>\n",
       "      <td>310</td>\n",
       "      <td>362</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>October</th>\n",
       "      <td>119</td>\n",
       "      <td>133</td>\n",
       "      <td>162</td>\n",
       "      <td>191</td>\n",
       "      <td>211</td>\n",
       "      <td>229</td>\n",
       "      <td>274</td>\n",
       "      <td>306</td>\n",
       "      <td>347</td>\n",
       "      <td>359</td>\n",
       "      <td>407</td>\n",
       "      <td>461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>September</th>\n",
       "      <td>136</td>\n",
       "      <td>158</td>\n",
       "      <td>184</td>\n",
       "      <td>209</td>\n",
       "      <td>237</td>\n",
       "      <td>259</td>\n",
       "      <td>312</td>\n",
       "      <td>355</td>\n",
       "      <td>404</td>\n",
       "      <td>404</td>\n",
       "      <td>463</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "year       1949  1950  1951  1952  1953  1954  1955  1956  1957  1958  1959  \\\n",
       "month                                                                         \n",
       "April       129   135   163   181   235   227   269   313   348   348   396   \n",
       "August      148   170   199   242   272   293   347   405   467   505   559   \n",
       "December    118   140   166   194   201   229   278   306   336   337   405   \n",
       "February    118   126   150   180   196   188   233   277   301   318   342   \n",
       "January     112   115   145   171   196   204   242   284   315   340   360   \n",
       "July        148   170   199   230   264   302   364   413   465   491   548   \n",
       "June        135   149   178   218   243   264   315   374   422   435   472   \n",
       "March       132   141   178   193   236   235   267   317   356   362   406   \n",
       "May         121   125   172   183   229   234   270   318   355   363   420   \n",
       "November    104   114   146   172   180   203   237   271   305   310   362   \n",
       "October     119   133   162   191   211   229   274   306   347   359   407   \n",
       "September   136   158   184   209   237   259   312   355   404   404   463   \n",
       "\n",
       "year       1960  \n",
       "month            \n",
       "April       461  \n",
       "August      606  \n",
       "December    432  \n",
       "February    391  \n",
       "January     417  \n",
       "July        622  \n",
       "June        535  \n",
       "March       419  \n",
       "May         472  \n",
       "November    390  \n",
       "October     461  \n",
       "September   508  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看数据\n",
    "flights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "29e98372",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949</td>\n",
       "      <td>January</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949</td>\n",
       "      <td>February</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1949</td>\n",
       "      <td>March</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1949</td>\n",
       "      <td>April</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1949</td>\n",
       "      <td>May</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>1960</td>\n",
       "      <td>August</td>\n",
       "      <td>606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>1960</td>\n",
       "      <td>September</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>1960</td>\n",
       "      <td>October</td>\n",
       "      <td>461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>1960</td>\n",
       "      <td>November</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>1960</td>\n",
       "      <td>December</td>\n",
       "      <td>432</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>144 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year      month  passengers\n",
       "0    1949    January         112\n",
       "1    1949   February         118\n",
       "2    1949      March         132\n",
       "3    1949      April         129\n",
       "4    1949        May         121\n",
       "..    ...        ...         ...\n",
       "139  1960     August         606\n",
       "140  1960  September         508\n",
       "141  1960    October         461\n",
       "142  1960   November         390\n",
       "143  1960   December         432\n",
       "\n",
       "[144 rows x 3 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " pd.read_csv('./data/flights.csv') # 飞行数据"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4b07c95",
   "metadata": {},
   "source": [
    "## 条形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b59cc0ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize = (9, 6)) # 画布大小\n",
    "\n",
    "sns.set(style = 'whitegrid') # 颜色主题\n",
    "tips = pd.read_csv('./data/tips.csv') # 小费数据\n",
    "\n",
    "# 条形图\n",
    "ax = sns.barplot(x = \"total_bill\", y = \"day\", \n",
    "                 data = tips,\n",
    "                 palette = 'colorblind',orient='h')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d303b01",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "237.4375px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
